Google is pushing back hard on claims that Gmail messages are being scooped up to train its newest artificial intelligence ...

Earthquake forecasting tools powered by AI can forecast the risk of aftershocks seconds after the initial tremor, a new study ...

Abstract: This article presents a predictive model using supervised machine learning, highlighting the importance of advanced optimization algorithms. Our approach focuses on a nonsmooth loss function ...

Abstract: We present an analog machine learning chip for audio keyword spotting based on charge-trap transistors in 22 nm FD-SOI process. This implementation does not require any analog-to-digital ...

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

A new post on Apple’s Machine Learning Research blog shows how much the M5 improved over the M4 when it comes to running a ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

The leadup and outload for a major training rotation is a stressful time. Condensed timelines and a large number of moving parts make it a whirlwind ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldsten & Fox PLLC discuss guidance and decisions on securing patents ...